Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)

Capital One Financial

Quick summary

Work type
On-site
Location
New York, NYSan Francisco, CAMcLean, VACambridge, MASan Jose, CA
Salary
$197,300–$225,100 / yr
Posted
3 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $207k
This role $211k
$159k most similar roles pay here $255k

This role pays more than 54% of similar roles. Most pay $168,262–$246,150 — the shaded band above. At the midpoint, this role pays about $211k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 805 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 798 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)

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As a Lead AI Engineer on the MLX team, you will drive the development of agentic and generative AI platforms, focusing on creating scalable services that enhance user interaction and experience. Your day-to-day responsibilities include designing innovative solutions for complex business problems, collaborating with cross-functional teams to integrate advanced AI technologies, and ensuring robust performance and reliability of AI systems. Ideal candidates possess extensive expertise in machine learning frameworks like TensorFlow or PyTorch, proficiency in programming languages such as Python and JavaScript, and a strong background in natural language processing (NLP) and large-scale data management. This role requires deep technical knowledge and the ability to navigate the challenges of building cutting-edge AI products at scale within a fast-paced environment.

Skills

Python TensorFlow PyTorch Kubernetes Docker AWS CI/CD MLOps PostgreSQL Redis Git GitHub Swagger RESTful APIs

What you'll do

  • Lead the design and development of advanced machine learning models.
  • Implement agentic AI solutions to enhance system autonomy and efficiency.
  • Optimize generative AI platforms for improved performance and scalability.
  • Conduct research on cutting-edge AI technologies and integrate them into projects.
  • Mentor junior engineers in AI principles, best practices, and emerging trends.

What we're looking for

  • 5+ years of experience in machine learning and artificial intelligence.
  • Proven track record in developing and deploying agentic AI systems.
  • Strong background in generative AI platforms and services.
  • Expertise in leading cross-functional teams for complex projects.
  • Excellent problem-solving skills with a focus on technical innovation.

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